Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some theme or consisting of the works of some international project. The goal of special sessions (minimum 6 papers) is to provide a focused discussion on innovative topics. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of LISS2024. The conference proceeding will be published by Springer with a catalog number and ISBN, and will be included in the SpringerLink Digital Library. To be eligible for publication in the conference proceedings, an accepted paper must be presented at the conference by one of the authors. The authors with excellent papers in conference proceedings will be invited to publish their academic thought and methods in some international academic journals indexed by SSCI/SCI or EI with high priority.

Special Session LIST

1. LSS2024：Logistics System Science

Session Chair: Min Zuo (email: zuomin@bwu.edu.cn), Beijing Wuzi University, China

2. RNSCM2024: Research on New Supply Chain Models

Session Chair: Hong-jun Wang (email: renjunling@bistu.edu.cn), Beijing Information Science & Technology University, China

3. ITIDM2024: Special Session on Information Technology and Intelligent Decision-Making

Session Chair: Che Lei (email: chelei@bistu.edu.cn), Beijing Information Science & Technology University, China

4. IDMRA2024: Special Session on Intelligent Decision Making and Risk Analysis

Session Chair: Xiaoyan Gu (email: xiaoyangu@bistu.edu.cn), Beijing Information Science & Technology University, China

5. ASCPEBR2024: Special Session on Analysis of Supply Chain Partnership & Enterprise Business Risk

Session Chair: Lijun Liang (email: lianglijunuse.bistu.edu.cn), Beijing Information Science & Technology University, China

6. ISS2024: Special Session on Information security and services

Session Chair: Junling Ren (email: renjunling@bistu.edu.cn), Beijing Information Science & Technology University, China

 

 

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Logistics System Science - LSS2024

Scope and Topics:

This special session mainly focuses on the theoretical and applied development frontiers of systems science in the field of logistics. Topics include but are not limited to:

Logistics system modeling and regulation

Logistics system analysis and integration

Logistics and supply chain system optimization and intelligent decision-making

Intelligent unmanned logistics system

Logistics data element circulation and governance

Session Organizer

Min Zuo, Level-2 Professor, Doctoral Supervisor, Dean of Beijing Wuzi University, received a special government subsidy of the State Councial and was selected as a "Beijing Scholar" in 2023. He serves as a member of the Teaching Guidance Committee for E-commerce under the Ministry of Education, an audit and evaluation expert for the Ministry of Education, the deputy director of the National Engineering Laboratory for Agri-product Quality Traceability, the deputy director of the Beijing Key Laboratory of Big Data Technology for Food Safety, a director of the Chinese Association for Artificial Intelligence, and the deputy director of the Intelligent Service Technical Committee of the Chinese Association for Artificial Intelligence. Professor Zuo's scholarly pursuits have been deeply rooted in the realms of complex systems, systems engineering, artificial intelligence, and big data. He has led and participated in various projects, including the National Natural Science Foundation Cooperation Projects, the 863 Program "New Generation High-Reliability Network" major project, the National Natural Science Foundation General Projects, and the Beijing Natural Science Foundation. His expertise in the evolution of intelligent systems and the interdisciplinary application of complex systems has yielded significant advancements in the fields of quality and safety traceability, food safety big data analytics, and the innovation of smart logistics solutions.

Contact information (email address): zuomin@bwu.edu.cn

 

 

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Research on New Supply Chain Models - RNSCM2024

Scope and Topics:

Research on New Supply Chain Models This topic studies supply chain resilience, and the fresh food trading model based on BOPS.

Topics include but are not limited to:

Supply Chain Resilience, LDA Topic Model, Knowledge Graph, consumer effectiveness, dual-channel, BOPS omni-channel, Risk.

Session Organizer

 

Hong-jun Wang, Level-2 Professor (Professors in China fall into 4 levels), Doctoral Supervisor, Dean of the School of Information Management, Beijing Information Science and Technology University. Leading Talents of Beijing High-level Innovation and Entrepreneurship Talent Support Programme, Beijing Teaching Master, Leader of Beijing High-level Academic Innovation Team and Teaching Team, Director of Beijing International Science and Technology Cooperation Base for Intelligent Sensing and Control of High-end Equipment, Deputy Director of Beijing Key Laboratory of Measurement and Control of Electromechanical Systems. She is mainly engaged in the research of intelligent perception and control of high-end equipment, industrial big data and digital twin technology, artificial intelligence-based condition monitoring, fault diagnosis and intelligent operation and maintenance key technology, intelligent manufacturing informatisation and industrial Internet information security technology, and key technology of human-machine integration of parallel robots. He has undertaken more than 30 high-level projects such as the National Science and Technology Special Project and the National Natural Science Foundation of China, and has won 17 scientific and technological awards such as the Science and Technology Progress Award of the Ministry of Education.

 

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Information Technology and Intelligent Decision-Making - ITIDM2024

Scope and Topics:

This special session at the conference is dedicated to exploring the frontier of technological advancements through rigorous academic exchange and collaboration among researchers, industry leaders, and practitioners. The session encapsulates a wide range of the latest advances in computational intelligence, machine learning, and data analytics in various fields. Topics include but are not limited to:

 ●      Applications of Large Language Models

 ●      Machine Learning

 ●      Data Analysis and IItelligent Decision-Making

 ●      Computer Vision

 ●      Information Technological Innovations and Applications

Session Organizer

Che Lei received B.S. degree in computer and application from Henan University in 2002, M.S. degree in computer application technology from Wuhan University of Technology in 2005, and Ph.D. degree in computer application technology from Renmin University of China in 2020. She is currently an associate professor, Master’s Supervisor and National first-class undergraduate course leader at School of Information Management Beijing Information Science & Technology University. She has been honored with titles such as "Beijing Young Talent," "Education Innovation Model Worker of Beijing Education Union," and "Excellent Lecturer of Beijing Colleges and Universities". Her research interest includes intelligent decision-making, natural language processing and computer vision.

Contact information (email address): chelei@bistu.edu.cn

 

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Intelligent Decision Making and Risk Analysis – IDMRA2024

Scope and Topics:

This special session aims to provide a forum for researchers, industry leaders and, practitioners to exchange the latest advances in Digital Transformation, Big Data Analytics, Risk Warning, Intelligent Logistics that fall into the field Intelligent Decision Making and Risk Analysis

Topics include but are not limited to:

Optimization Countermeasures, Decision Support Systems, Blockchain, Simulation, Risk Assessment, Risk Control, Cross-Border E-Commerce, Risk Analysis, Data Mining, Weighted Stacking Integrated Learning, Prediction Models, Intelligent Optimization, Sensitivity Analysis, Uncertainty Management, Expert Systems, Hidden Markov Model,Cyclical Fluctuations

Session Organizer  

Xiaoyan Gu, Associate Professor. Director, the Risk Management Sub-Committee, Chinese Society of Optimization, Overall Planning and Economic Mathematics. Director, Systems Engineering Society of Beijing. Young Editorial Board Member, CSSCI《Electronics Optics & Control》. Peer Reviewer, National Natural Science Foundation of China. Reviewer for FMS ranked T1 journal《Chinese Journal of Management Science》, EI journal《Systems Engineering and Electronics》, etc. Author of entries in the《Encyclopaedia of China》(third edition). She has presided over a number of projects entrusted by the National Natural Science Foundation of China, the National Defence Preliminary Research Fund and enterprises and institutions, and participated in the National Key Research and Development Plan, Qinghai Province Key Research and Development and Transformation Plan Project, and other national, provincial and ministerial level projects. He has rich application experience in big data analysis and intelligent decision-making, risk assessment and early warning, complex network and knowledge mapping. He has written one monograph, authorised five national invention patents, 16 software copyrights, one enterprise standard, and won the second prize of the National Science and Technology Innovation Award for Service Industry.

Contact information (email address): xiaoyangu@bistu.edu.cn

 

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Analysis of Supply Chain Partnership & Enterprise Business Risk – ASCPEBR2024

Scope and Topics:

The research in this group of academic papers focuses on enterprise operations and logistics processes, guided by risk issues. It explores model construction, process optimization, and technology applications from different perspectives, different fields, and different technologies. It mainly includes the following three categories:

（1）Enterprise operations and financial risk analysis, mainly using RPA technology, Logistic regression, and random forest methods to analyze risk issues in enterprise bidding, real estate, pharmaceutical companies, etc.;

（2）Capital supply and supply chain analysis, mainly using system dynamics and simulation tools, Citespace, and supply chain transmission theory to analyze agricultural supply, supply interruption risks, and supply chain finance development;

（3）IoT and information technology applications, mainly studying the intelligent logistics applications of smart warehousing AGVs and information security issues in the information transmission process.

Session organizer

Lijun Liang received his PhD in School of Management and Economics, Beijing Institute of technology in 2010. He served as a postdoctoral fellow at the Beijing Institute of Technology and Beijing Jiaotong University from November 2010 to September 2015. Currently, he is an associate professor and master's supervisor at School of Information and Management, Beijing Information Science and Technology University (BISTU). His research and teaching interests include supply chain management, logistics management, carbon auditing, and auditing theory and practice, among others. He has authored multiple monographs and professional textbooks, and has published over 40 academic papers since 2015. He has led or participated in numerous provincial and ministerial level research projects and has received teaching awards at both the ministerial and provincial levels.

Contact information (email address): lianglijunuse.bistu.edu.cn

 

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Information security and services - ISS2024

Scope and Topics:

This special session aims to provide a forum for researchers, industry leaders and, practitioners to exchange the latest advances in Logistics, Informatics and Service Science that fall into the field Information security and services.

Topics include but are not limited to:

Network Security, Data Encryption and Protection, System Security, Identity Authentication and Access Control, Security Policies and Management, Security Incident Response and Recovery, Information Security Laws and Compliance.

Session Organizer

Junling Ren received her PhD from Beijing University of Posts and Telecommunications. Currently she is an associate professor at the School of Information Management, Beijing Information Science and Technology University. She is also a Certified Information Security Professional (CISP) and a teacher for the National Information Security Professional Level Examination (NISP). She also holds the titles of "Key Teacher for Middle-aged and Young Teachers in Beijing" and "Outstanding Talent of Beijing Organization Department". Her research areas include intelligent information processing and cyberspace security.

Contact information (email address): renjunling@bistu.edu.cn